Upload task output efe665cf-4f36-458e-9e4a-2933f244229e
Browse files- README.md +202 -0
- adapter_config.json +39 -0
- adapter_model.safetensors +3 -0
- loss.txt +1 -0
- trainer_state.json +1824 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: diagonalge/Covenant72B
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.15.1
|
adapter_config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "diagonalge/Covenant72B",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 512,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.1,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"r": 128,
|
| 24 |
+
"rank_pattern": {},
|
| 25 |
+
"revision": null,
|
| 26 |
+
"target_modules": [
|
| 27 |
+
"o_proj",
|
| 28 |
+
"gate_proj",
|
| 29 |
+
"k_proj",
|
| 30 |
+
"up_proj",
|
| 31 |
+
"q_proj",
|
| 32 |
+
"v_proj",
|
| 33 |
+
"down_proj"
|
| 34 |
+
],
|
| 35 |
+
"task_type": "CAUSAL_LM",
|
| 36 |
+
"trainable_token_indices": null,
|
| 37 |
+
"use_dora": false,
|
| 38 |
+
"use_rslora": false
|
| 39 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0b0e556b0bc384fe0b780b4b635c36c8e72ac82491d26941ed9b6b3d742bda23
|
| 3 |
+
size 3313655720
|
loss.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
1251,1.5202196836471558
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1824 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 2.936619718309859,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 1251,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.011737089201877934,
|
| 14 |
+
"grad_norm": 1.6926082666941107,
|
| 15 |
+
"learning_rate": 9.237540571428572e-06,
|
| 16 |
+
"loss": 4.1191,
|
| 17 |
+
"step": 5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.023474178403755867,
|
| 21 |
+
"grad_norm": 1.0523580952405567,
|
| 22 |
+
"learning_rate": 2.0784466285714287e-05,
|
| 23 |
+
"loss": 3.9165,
|
| 24 |
+
"step": 10
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.035211267605633804,
|
| 28 |
+
"grad_norm": 0.9348982322725803,
|
| 29 |
+
"learning_rate": 3.2331392000000005e-05,
|
| 30 |
+
"loss": 3.0751,
|
| 31 |
+
"step": 15
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.046948356807511735,
|
| 35 |
+
"grad_norm": 0.963142977085111,
|
| 36 |
+
"learning_rate": 4.3878317714285716e-05,
|
| 37 |
+
"loss": 2.3471,
|
| 38 |
+
"step": 20
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.05868544600938967,
|
| 42 |
+
"grad_norm": 0.41999800522000985,
|
| 43 |
+
"learning_rate": 5.542524342857144e-05,
|
| 44 |
+
"loss": 1.9358,
|
| 45 |
+
"step": 25
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.07042253521126761,
|
| 49 |
+
"grad_norm": 0.44353131458171546,
|
| 50 |
+
"learning_rate": 6.697216914285716e-05,
|
| 51 |
+
"loss": 1.8648,
|
| 52 |
+
"step": 30
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.08215962441314555,
|
| 56 |
+
"grad_norm": 1.3157403937206136,
|
| 57 |
+
"learning_rate": 7.851909485714286e-05,
|
| 58 |
+
"loss": 1.874,
|
| 59 |
+
"step": 35
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.09389671361502347,
|
| 63 |
+
"grad_norm": 0.30804693051898663,
|
| 64 |
+
"learning_rate": 8.082693104266452e-05,
|
| 65 |
+
"loss": 1.8383,
|
| 66 |
+
"step": 40
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.1056338028169014,
|
| 70 |
+
"grad_norm": 0.27001251328292725,
|
| 71 |
+
"learning_rate": 8.082063867481342e-05,
|
| 72 |
+
"loss": 1.4036,
|
| 73 |
+
"step": 45
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.11737089201877934,
|
| 77 |
+
"grad_norm": 0.3485335678060715,
|
| 78 |
+
"learning_rate": 8.080950709070086e-05,
|
| 79 |
+
"loss": 1.6265,
|
| 80 |
+
"step": 50
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.12910798122065728,
|
| 84 |
+
"grad_norm": 0.25009903952840973,
|
| 85 |
+
"learning_rate": 8.079353806798678e-05,
|
| 86 |
+
"loss": 1.5537,
|
| 87 |
+
"step": 55
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.14084507042253522,
|
| 91 |
+
"grad_norm": 0.283472870261176,
|
| 92 |
+
"learning_rate": 8.07727341568466e-05,
|
| 93 |
+
"loss": 1.5242,
|
| 94 |
+
"step": 60
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.15258215962441316,
|
| 98 |
+
"grad_norm": 0.2603618862170815,
|
| 99 |
+
"learning_rate": 8.074709867956397e-05,
|
| 100 |
+
"loss": 1.52,
|
| 101 |
+
"step": 65
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.1643192488262911,
|
| 105 |
+
"grad_norm": 0.26748765076963404,
|
| 106 |
+
"learning_rate": 8.071663573000018e-05,
|
| 107 |
+
"loss": 1.4147,
|
| 108 |
+
"step": 70
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.176056338028169,
|
| 112 |
+
"grad_norm": 0.27233224635502085,
|
| 113 |
+
"learning_rate": 8.068135017294043e-05,
|
| 114 |
+
"loss": 1.4277,
|
| 115 |
+
"step": 75
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.18779342723004694,
|
| 119 |
+
"grad_norm": 0.27807424769416844,
|
| 120 |
+
"learning_rate": 8.064124764331693e-05,
|
| 121 |
+
"loss": 1.5202,
|
| 122 |
+
"step": 80
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.19953051643192488,
|
| 126 |
+
"grad_norm": 0.237501219160123,
|
| 127 |
+
"learning_rate": 8.059633454530899e-05,
|
| 128 |
+
"loss": 1.5265,
|
| 129 |
+
"step": 85
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.2112676056338028,
|
| 133 |
+
"grad_norm": 0.26393741964527623,
|
| 134 |
+
"learning_rate": 8.054661805132042e-05,
|
| 135 |
+
"loss": 1.4661,
|
| 136 |
+
"step": 90
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.22300469483568075,
|
| 140 |
+
"grad_norm": 0.307134230448153,
|
| 141 |
+
"learning_rate": 8.049210610083398e-05,
|
| 142 |
+
"loss": 1.5281,
|
| 143 |
+
"step": 95
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.2347417840375587,
|
| 147 |
+
"grad_norm": 0.30034381561230195,
|
| 148 |
+
"learning_rate": 8.043280739914361e-05,
|
| 149 |
+
"loss": 1.4272,
|
| 150 |
+
"step": 100
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.24647887323943662,
|
| 154 |
+
"grad_norm": 0.25199182793601094,
|
| 155 |
+
"learning_rate": 8.036873141596414e-05,
|
| 156 |
+
"loss": 1.385,
|
| 157 |
+
"step": 105
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.25821596244131456,
|
| 161 |
+
"grad_norm": 0.25027218831718984,
|
| 162 |
+
"learning_rate": 8.029988838391911e-05,
|
| 163 |
+
"loss": 1.4313,
|
| 164 |
+
"step": 110
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.2699530516431925,
|
| 168 |
+
"grad_norm": 1.0436457556233485,
|
| 169 |
+
"learning_rate": 8.02262892969066e-05,
|
| 170 |
+
"loss": 1.4076,
|
| 171 |
+
"step": 115
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.28169014084507044,
|
| 175 |
+
"grad_norm": 0.25287945938151374,
|
| 176 |
+
"learning_rate": 8.014794590834359e-05,
|
| 177 |
+
"loss": 1.4006,
|
| 178 |
+
"step": 120
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.2934272300469484,
|
| 182 |
+
"grad_norm": 0.3426017772114307,
|
| 183 |
+
"learning_rate": 8.0064870729289e-05,
|
| 184 |
+
"loss": 1.3478,
|
| 185 |
+
"step": 125
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.3051643192488263,
|
| 189 |
+
"grad_norm": 0.24548095078180857,
|
| 190 |
+
"learning_rate": 7.997707702644572e-05,
|
| 191 |
+
"loss": 1.4508,
|
| 192 |
+
"step": 130
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.31690140845070425,
|
| 196 |
+
"grad_norm": 0.3257280042891666,
|
| 197 |
+
"learning_rate": 7.988457882004198e-05,
|
| 198 |
+
"loss": 1.3507,
|
| 199 |
+
"step": 135
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.3286384976525822,
|
| 203 |
+
"grad_norm": 0.2648447775178709,
|
| 204 |
+
"learning_rate": 7.978739088159242e-05,
|
| 205 |
+
"loss": 1.3959,
|
| 206 |
+
"step": 140
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.3403755868544601,
|
| 210 |
+
"grad_norm": 0.3253574365810539,
|
| 211 |
+
"learning_rate": 7.968552873153908e-05,
|
| 212 |
+
"loss": 1.5608,
|
| 213 |
+
"step": 145
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.352112676056338,
|
| 217 |
+
"grad_norm": 0.2683217685759068,
|
| 218 |
+
"learning_rate": 7.957900863677296e-05,
|
| 219 |
+
"loss": 1.3742,
|
| 220 |
+
"step": 150
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.36384976525821594,
|
| 224 |
+
"grad_norm": 0.27823469209609253,
|
| 225 |
+
"learning_rate": 7.94678476080362e-05,
|
| 226 |
+
"loss": 1.4693,
|
| 227 |
+
"step": 155
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.3755868544600939,
|
| 231 |
+
"grad_norm": 0.31396185033997276,
|
| 232 |
+
"learning_rate": 7.935206339720553e-05,
|
| 233 |
+
"loss": 1.4293,
|
| 234 |
+
"step": 160
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.3873239436619718,
|
| 238 |
+
"grad_norm": 0.23711923917761538,
|
| 239 |
+
"learning_rate": 7.923167449445751e-05,
|
| 240 |
+
"loss": 1.3614,
|
| 241 |
+
"step": 165
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.39906103286384975,
|
| 245 |
+
"grad_norm": 0.23098090222216835,
|
| 246 |
+
"learning_rate": 7.910670012531556e-05,
|
| 247 |
+
"loss": 1.4348,
|
| 248 |
+
"step": 170
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.4107981220657277,
|
| 252 |
+
"grad_norm": 0.24726241172120542,
|
| 253 |
+
"learning_rate": 7.897716024757991e-05,
|
| 254 |
+
"loss": 1.3991,
|
| 255 |
+
"step": 175
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.4225352112676056,
|
| 259 |
+
"grad_norm": 0.2529598203448259,
|
| 260 |
+
"learning_rate": 7.884307554814028e-05,
|
| 261 |
+
"loss": 1.3889,
|
| 262 |
+
"step": 180
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.43427230046948356,
|
| 266 |
+
"grad_norm": 0.2626838974550443,
|
| 267 |
+
"learning_rate": 7.870446743967242e-05,
|
| 268 |
+
"loss": 1.3164,
|
| 269 |
+
"step": 185
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.4460093896713615,
|
| 273 |
+
"grad_norm": 0.22340503189330538,
|
| 274 |
+
"learning_rate": 7.856135805721846e-05,
|
| 275 |
+
"loss": 1.3403,
|
| 276 |
+
"step": 190
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.45774647887323944,
|
| 280 |
+
"grad_norm": 0.2643635528374707,
|
| 281 |
+
"learning_rate": 7.841377025465227e-05,
|
| 282 |
+
"loss": 1.3128,
|
| 283 |
+
"step": 195
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.4694835680751174,
|
| 287 |
+
"grad_norm": 0.23702382238947953,
|
| 288 |
+
"learning_rate": 7.826172760102954e-05,
|
| 289 |
+
"loss": 1.3577,
|
| 290 |
+
"step": 200
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.4812206572769953,
|
| 294 |
+
"grad_norm": 0.3089050115416261,
|
| 295 |
+
"learning_rate": 7.810525437682417e-05,
|
| 296 |
+
"loss": 1.3627,
|
| 297 |
+
"step": 205
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.49295774647887325,
|
| 301 |
+
"grad_norm": 0.2459426412330782,
|
| 302 |
+
"learning_rate": 7.794437557005058e-05,
|
| 303 |
+
"loss": 1.361,
|
| 304 |
+
"step": 210
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.5046948356807511,
|
| 308 |
+
"grad_norm": 0.2474645086201422,
|
| 309 |
+
"learning_rate": 7.777911687227339e-05,
|
| 310 |
+
"loss": 1.35,
|
| 311 |
+
"step": 215
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.5164319248826291,
|
| 315 |
+
"grad_norm": 0.2776269910713455,
|
| 316 |
+
"learning_rate": 7.760950467450457e-05,
|
| 317 |
+
"loss": 1.3038,
|
| 318 |
+
"step": 220
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.528169014084507,
|
| 322 |
+
"grad_norm": 0.23093548062400274,
|
| 323 |
+
"learning_rate": 7.743556606298887e-05,
|
| 324 |
+
"loss": 1.2999,
|
| 325 |
+
"step": 225
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.539906103286385,
|
| 329 |
+
"grad_norm": 0.21029555812416517,
|
| 330 |
+
"learning_rate": 7.725732881487837e-05,
|
| 331 |
+
"loss": 1.3563,
|
| 332 |
+
"step": 230
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.5516431924882629,
|
| 336 |
+
"grad_norm": 0.2380837640644916,
|
| 337 |
+
"learning_rate": 7.707482139379649e-05,
|
| 338 |
+
"loss": 1.4117,
|
| 339 |
+
"step": 235
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.5633802816901409,
|
| 343 |
+
"grad_norm": 0.2501691778817746,
|
| 344 |
+
"learning_rate": 7.688807294529259e-05,
|
| 345 |
+
"loss": 1.3747,
|
| 346 |
+
"step": 240
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.5751173708920188,
|
| 350 |
+
"grad_norm": 0.2531422248522496,
|
| 351 |
+
"learning_rate": 7.669711329218748e-05,
|
| 352 |
+
"loss": 1.3142,
|
| 353 |
+
"step": 245
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.5868544600938967,
|
| 357 |
+
"grad_norm": 0.3071530417375628,
|
| 358 |
+
"learning_rate": 7.6501972929811e-05,
|
| 359 |
+
"loss": 1.3518,
|
| 360 |
+
"step": 250
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.5985915492957746,
|
| 364 |
+
"grad_norm": 0.2462933779162881,
|
| 365 |
+
"learning_rate": 7.630268302113184e-05,
|
| 366 |
+
"loss": 1.3381,
|
| 367 |
+
"step": 255
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.6103286384976526,
|
| 371 |
+
"grad_norm": 0.231440592355059,
|
| 372 |
+
"learning_rate": 7.609927539178122e-05,
|
| 373 |
+
"loss": 1.2967,
|
| 374 |
+
"step": 260
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.6220657276995305,
|
| 378 |
+
"grad_norm": 0.26883215485587464,
|
| 379 |
+
"learning_rate": 7.589178252497026e-05,
|
| 380 |
+
"loss": 1.4204,
|
| 381 |
+
"step": 265
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.6338028169014085,
|
| 385 |
+
"grad_norm": 1.5499941567046591,
|
| 386 |
+
"learning_rate": 7.568023755630275e-05,
|
| 387 |
+
"loss": 1.2625,
|
| 388 |
+
"step": 270
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.6455399061032864,
|
| 392 |
+
"grad_norm": 0.23176606216751602,
|
| 393 |
+
"learning_rate": 7.546467426848345e-05,
|
| 394 |
+
"loss": 1.3575,
|
| 395 |
+
"step": 275
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.6572769953051644,
|
| 399 |
+
"grad_norm": 0.29787341630319236,
|
| 400 |
+
"learning_rate": 7.524512708592318e-05,
|
| 401 |
+
"loss": 1.3631,
|
| 402 |
+
"step": 280
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.6690140845070423,
|
| 406 |
+
"grad_norm": 0.2414950159288888,
|
| 407 |
+
"learning_rate": 7.502163106924143e-05,
|
| 408 |
+
"loss": 1.3421,
|
| 409 |
+
"step": 285
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.6807511737089202,
|
| 413 |
+
"grad_norm": 0.2609054694114428,
|
| 414 |
+
"learning_rate": 7.479422190966731e-05,
|
| 415 |
+
"loss": 1.2775,
|
| 416 |
+
"step": 290
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.6924882629107981,
|
| 420 |
+
"grad_norm": 0.24342075714638725,
|
| 421 |
+
"learning_rate": 7.456293592333991e-05,
|
| 422 |
+
"loss": 1.2399,
|
| 423 |
+
"step": 295
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.704225352112676,
|
| 427 |
+
"grad_norm": 0.2451126010921149,
|
| 428 |
+
"learning_rate": 7.432781004550864e-05,
|
| 429 |
+
"loss": 1.1849,
|
| 430 |
+
"step": 300
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.715962441314554,
|
| 434 |
+
"grad_norm": 0.38381425009051096,
|
| 435 |
+
"learning_rate": 7.408888182463507e-05,
|
| 436 |
+
"loss": 1.2887,
|
| 437 |
+
"step": 305
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.7276995305164319,
|
| 441 |
+
"grad_norm": 0.23592915827608676,
|
| 442 |
+
"learning_rate": 7.38461894163964e-05,
|
| 443 |
+
"loss": 1.3505,
|
| 444 |
+
"step": 310
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.7394366197183099,
|
| 448 |
+
"grad_norm": 0.2698206782214951,
|
| 449 |
+
"learning_rate": 7.35997715775923e-05,
|
| 450 |
+
"loss": 1.3215,
|
| 451 |
+
"step": 315
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.7511737089201878,
|
| 455 |
+
"grad_norm": 0.2453301887513675,
|
| 456 |
+
"learning_rate": 7.334966765995569e-05,
|
| 457 |
+
"loss": 1.2296,
|
| 458 |
+
"step": 320
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.7629107981220657,
|
| 462 |
+
"grad_norm": 0.21952063652943296,
|
| 463 |
+
"learning_rate": 7.309591760386829e-05,
|
| 464 |
+
"loss": 1.3247,
|
| 465 |
+
"step": 325
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.7746478873239436,
|
| 469 |
+
"grad_norm": 0.28692324866840146,
|
| 470 |
+
"learning_rate": 7.28385619319825e-05,
|
| 471 |
+
"loss": 1.2973,
|
| 472 |
+
"step": 330
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.7863849765258216,
|
| 476 |
+
"grad_norm": 0.24556875494678596,
|
| 477 |
+
"learning_rate": 7.257764174275004e-05,
|
| 478 |
+
"loss": 1.1292,
|
| 479 |
+
"step": 335
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.7981220657276995,
|
| 483 |
+
"grad_norm": 0.21102775812196028,
|
| 484 |
+
"learning_rate": 7.231319870385874e-05,
|
| 485 |
+
"loss": 1.1703,
|
| 486 |
+
"step": 340
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.8098591549295775,
|
| 490 |
+
"grad_norm": 0.22043483877271167,
|
| 491 |
+
"learning_rate": 7.204527504557848e-05,
|
| 492 |
+
"loss": 1.1836,
|
| 493 |
+
"step": 345
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.8215962441314554,
|
| 497 |
+
"grad_norm": 0.23022946831058466,
|
| 498 |
+
"learning_rate": 7.177391355401707e-05,
|
| 499 |
+
"loss": 1.3726,
|
| 500 |
+
"step": 350
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.8333333333333334,
|
| 504 |
+
"grad_norm": 0.2246896571930163,
|
| 505 |
+
"learning_rate": 7.149915756428768e-05,
|
| 506 |
+
"loss": 1.3799,
|
| 507 |
+
"step": 355
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.8450704225352113,
|
| 511 |
+
"grad_norm": 0.2523792044709292,
|
| 512 |
+
"learning_rate": 7.122105095358836e-05,
|
| 513 |
+
"loss": 1.3122,
|
| 514 |
+
"step": 360
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.8568075117370892,
|
| 518 |
+
"grad_norm": 0.23559138914799244,
|
| 519 |
+
"learning_rate": 7.0939638134195e-05,
|
| 520 |
+
"loss": 1.2995,
|
| 521 |
+
"step": 365
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.8685446009389671,
|
| 525 |
+
"grad_norm": 0.2597889434863669,
|
| 526 |
+
"learning_rate": 7.065496404636905e-05,
|
| 527 |
+
"loss": 1.369,
|
| 528 |
+
"step": 370
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.8802816901408451,
|
| 532 |
+
"grad_norm": 0.24829748827668763,
|
| 533 |
+
"learning_rate": 7.036707415118069e-05,
|
| 534 |
+
"loss": 1.2793,
|
| 535 |
+
"step": 375
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.892018779342723,
|
| 539 |
+
"grad_norm": 0.6851956453951893,
|
| 540 |
+
"learning_rate": 7.007601442324886e-05,
|
| 541 |
+
"loss": 1.3262,
|
| 542 |
+
"step": 380
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.903755868544601,
|
| 546 |
+
"grad_norm": 0.24078658149556825,
|
| 547 |
+
"learning_rate": 6.978183134339949e-05,
|
| 548 |
+
"loss": 1.3209,
|
| 549 |
+
"step": 385
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.9154929577464789,
|
| 553 |
+
"grad_norm": 0.24167241236562123,
|
| 554 |
+
"learning_rate": 6.948457189124259e-05,
|
| 555 |
+
"loss": 1.3779,
|
| 556 |
+
"step": 390
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.9272300469483568,
|
| 560 |
+
"grad_norm": 0.24575130336431836,
|
| 561 |
+
"learning_rate": 6.918428353766991e-05,
|
| 562 |
+
"loss": 1.3325,
|
| 563 |
+
"step": 395
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.9389671361502347,
|
| 567 |
+
"grad_norm": 0.2326601273504395,
|
| 568 |
+
"learning_rate": 6.888101423727413e-05,
|
| 569 |
+
"loss": 1.2331,
|
| 570 |
+
"step": 400
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.9507042253521126,
|
| 574 |
+
"grad_norm": 0.22591521946130988,
|
| 575 |
+
"learning_rate": 6.857481242069052e-05,
|
| 576 |
+
"loss": 1.2541,
|
| 577 |
+
"step": 405
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.9624413145539906,
|
| 581 |
+
"grad_norm": 0.2308511630846233,
|
| 582 |
+
"learning_rate": 6.82657269868631e-05,
|
| 583 |
+
"loss": 1.2298,
|
| 584 |
+
"step": 410
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.9741784037558685,
|
| 588 |
+
"grad_norm": 0.25182225001294944,
|
| 589 |
+
"learning_rate": 6.795380729523547e-05,
|
| 590 |
+
"loss": 1.301,
|
| 591 |
+
"step": 415
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.9859154929577465,
|
| 595 |
+
"grad_norm": 0.2605089795549262,
|
| 596 |
+
"learning_rate": 6.76391031578685e-05,
|
| 597 |
+
"loss": 1.3731,
|
| 598 |
+
"step": 420
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.9976525821596244,
|
| 602 |
+
"grad_norm": 0.22892211041701857,
|
| 603 |
+
"learning_rate": 6.732166483148549e-05,
|
| 604 |
+
"loss": 1.1978,
|
| 605 |
+
"step": 425
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.9976525821596244,
|
| 609 |
+
"eval_loss": 1.6044145822525024,
|
| 610 |
+
"eval_runtime": 50.0629,
|
| 611 |
+
"eval_samples_per_second": 1.458,
|
| 612 |
+
"eval_steps_per_second": 0.2,
|
| 613 |
+
"step": 425
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 1.0093896713615023,
|
| 617 |
+
"grad_norm": 0.24910638304822852,
|
| 618 |
+
"learning_rate": 6.70015430094465e-05,
|
| 619 |
+
"loss": 1.123,
|
| 620 |
+
"step": 430
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 1.0211267605633803,
|
| 624 |
+
"grad_norm": 0.33357404745827773,
|
| 625 |
+
"learning_rate": 6.667878881365277e-05,
|
| 626 |
+
"loss": 1.1185,
|
| 627 |
+
"step": 435
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 1.0328638497652582,
|
| 631 |
+
"grad_norm": 0.29008454147641954,
|
| 632 |
+
"learning_rate": 6.635345378638292e-05,
|
| 633 |
+
"loss": 1.1284,
|
| 634 |
+
"step": 440
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 1.0446009389671362,
|
| 638 |
+
"grad_norm": 0.2670483776495452,
|
| 639 |
+
"learning_rate": 6.602558988206174e-05,
|
| 640 |
+
"loss": 1.2331,
|
| 641 |
+
"step": 445
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 1.056338028169014,
|
| 645 |
+
"grad_norm": 0.2430183857087479,
|
| 646 |
+
"learning_rate": 6.56952494589635e-05,
|
| 647 |
+
"loss": 1.0354,
|
| 648 |
+
"step": 450
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 1.068075117370892,
|
| 652 |
+
"grad_norm": 0.25159392522233937,
|
| 653 |
+
"learning_rate": 6.536248527085044e-05,
|
| 654 |
+
"loss": 1.095,
|
| 655 |
+
"step": 455
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 1.07981220657277,
|
| 659 |
+
"grad_norm": 0.25129604646154363,
|
| 660 |
+
"learning_rate": 6.502735045854836e-05,
|
| 661 |
+
"loss": 1.1631,
|
| 662 |
+
"step": 460
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 1.091549295774648,
|
| 666 |
+
"grad_norm": 0.2375727576097195,
|
| 667 |
+
"learning_rate": 6.468989854146017e-05,
|
| 668 |
+
"loss": 1.056,
|
| 669 |
+
"step": 465
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 1.1032863849765258,
|
| 673 |
+
"grad_norm": 0.25705262164871134,
|
| 674 |
+
"learning_rate": 6.435018340901922e-05,
|
| 675 |
+
"loss": 1.1019,
|
| 676 |
+
"step": 470
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 1.1150234741784038,
|
| 680 |
+
"grad_norm": 0.2632363761365353,
|
| 681 |
+
"learning_rate": 6.400825931208336e-05,
|
| 682 |
+
"loss": 1.0925,
|
| 683 |
+
"step": 475
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 1.1267605633802817,
|
| 687 |
+
"grad_norm": 0.25529732934150606,
|
| 688 |
+
"learning_rate": 6.366418085427133e-05,
|
| 689 |
+
"loss": 1.0742,
|
| 690 |
+
"step": 480
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 1.1384976525821595,
|
| 694 |
+
"grad_norm": 0.24911618052576018,
|
| 695 |
+
"learning_rate": 6.331800298324286e-05,
|
| 696 |
+
"loss": 1.1257,
|
| 697 |
+
"step": 485
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 1.1502347417840375,
|
| 701 |
+
"grad_norm": 0.2713693928567898,
|
| 702 |
+
"learning_rate": 6.29697809819238e-05,
|
| 703 |
+
"loss": 1.1852,
|
| 704 |
+
"step": 490
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 1.1619718309859155,
|
| 708 |
+
"grad_norm": 0.25598293691462287,
|
| 709 |
+
"learning_rate": 6.26195704596776e-05,
|
| 710 |
+
"loss": 1.147,
|
| 711 |
+
"step": 495
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 1.1737089201877935,
|
| 715 |
+
"grad_norm": 0.2506209145241536,
|
| 716 |
+
"learning_rate": 6.2267427343425e-05,
|
| 717 |
+
"loss": 1.0602,
|
| 718 |
+
"step": 500
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 1.1737089201877935,
|
| 722 |
+
"eval_loss": 1.5600786209106445,
|
| 723 |
+
"eval_runtime": 49.8763,
|
| 724 |
+
"eval_samples_per_second": 1.464,
|
| 725 |
+
"eval_steps_per_second": 0.2,
|
| 726 |
+
"step": 500
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 1.1854460093896715,
|
| 730 |
+
"grad_norm": 0.24306048622973317,
|
| 731 |
+
"learning_rate": 6.19134078687125e-05,
|
| 732 |
+
"loss": 1.0243,
|
| 733 |
+
"step": 505
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 1.1971830985915493,
|
| 737 |
+
"grad_norm": 0.26647005420227804,
|
| 738 |
+
"learning_rate": 6.155756857073197e-05,
|
| 739 |
+
"loss": 1.1676,
|
| 740 |
+
"step": 510
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 1.2089201877934272,
|
| 744 |
+
"grad_norm": 0.28346081980702725,
|
| 745 |
+
"learning_rate": 6.119996627529222e-05,
|
| 746 |
+
"loss": 1.1091,
|
| 747 |
+
"step": 515
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 1.2206572769953052,
|
| 751 |
+
"grad_norm": 0.2523758910052274,
|
| 752 |
+
"learning_rate": 6.084065808974423e-05,
|
| 753 |
+
"loss": 1.1431,
|
| 754 |
+
"step": 520
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"epoch": 1.232394366197183,
|
| 758 |
+
"grad_norm": 0.24326518180467072,
|
| 759 |
+
"learning_rate": 6.047970139386133e-05,
|
| 760 |
+
"loss": 1.0999,
|
| 761 |
+
"step": 525
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 1.244131455399061,
|
| 765 |
+
"grad_norm": 0.2517876789791905,
|
| 766 |
+
"learning_rate": 6.011715383067593e-05,
|
| 767 |
+
"loss": 1.1285,
|
| 768 |
+
"step": 530
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 1.255868544600939,
|
| 772 |
+
"grad_norm": 0.25670486692069977,
|
| 773 |
+
"learning_rate": 5.975307329727426e-05,
|
| 774 |
+
"loss": 1.0623,
|
| 775 |
+
"step": 535
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 1.267605633802817,
|
| 779 |
+
"grad_norm": 0.2831263117979734,
|
| 780 |
+
"learning_rate": 5.938751793555044e-05,
|
| 781 |
+
"loss": 1.1384,
|
| 782 |
+
"step": 540
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 1.2793427230046948,
|
| 786 |
+
"grad_norm": 0.2514294700936478,
|
| 787 |
+
"learning_rate": 5.902054612292151e-05,
|
| 788 |
+
"loss": 1.1115,
|
| 789 |
+
"step": 545
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 1.2910798122065728,
|
| 793 |
+
"grad_norm": 0.2830207243631822,
|
| 794 |
+
"learning_rate": 5.865221646300485e-05,
|
| 795 |
+
"loss": 1.1742,
|
| 796 |
+
"step": 550
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 1.3028169014084507,
|
| 800 |
+
"grad_norm": 0.27398863839678606,
|
| 801 |
+
"learning_rate": 5.828258777625944e-05,
|
| 802 |
+
"loss": 1.1052,
|
| 803 |
+
"step": 555
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 1.3145539906103285,
|
| 807 |
+
"grad_norm": 0.25895033553118535,
|
| 808 |
+
"learning_rate": 5.791171909059259e-05,
|
| 809 |
+
"loss": 1.2186,
|
| 810 |
+
"step": 560
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 1.3262910798122065,
|
| 814 |
+
"grad_norm": 0.258186822849988,
|
| 815 |
+
"learning_rate": 5.7539669631933385e-05,
|
| 816 |
+
"loss": 1.1201,
|
| 817 |
+
"step": 565
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 1.3380281690140845,
|
| 821 |
+
"grad_norm": 0.25129851535157616,
|
| 822 |
+
"learning_rate": 5.71664988147746e-05,
|
| 823 |
+
"loss": 1.1031,
|
| 824 |
+
"step": 570
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 1.3497652582159625,
|
| 828 |
+
"grad_norm": 0.25982425225157424,
|
| 829 |
+
"learning_rate": 5.6792266232684574e-05,
|
| 830 |
+
"loss": 1.0259,
|
| 831 |
+
"step": 575
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 1.3615023474178405,
|
| 835 |
+
"grad_norm": 0.26067740399731576,
|
| 836 |
+
"learning_rate": 5.6417031648790324e-05,
|
| 837 |
+
"loss": 1.2319,
|
| 838 |
+
"step": 580
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"epoch": 1.3732394366197183,
|
| 842 |
+
"grad_norm": 0.28203855843767645,
|
| 843 |
+
"learning_rate": 5.6040854986233706e-05,
|
| 844 |
+
"loss": 1.1523,
|
| 845 |
+
"step": 585
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 1.3849765258215962,
|
| 849 |
+
"grad_norm": 0.2616034024922836,
|
| 850 |
+
"learning_rate": 5.5663796318601946e-05,
|
| 851 |
+
"loss": 1.0862,
|
| 852 |
+
"step": 590
|
| 853 |
+
},
|
| 854 |
+
{
|
| 855 |
+
"epoch": 1.3967136150234742,
|
| 856 |
+
"grad_norm": 0.2557988750857973,
|
| 857 |
+
"learning_rate": 5.528591586033421e-05,
|
| 858 |
+
"loss": 1.1261,
|
| 859 |
+
"step": 595
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"epoch": 1.408450704225352,
|
| 863 |
+
"grad_norm": 0.2583387594345229,
|
| 864 |
+
"learning_rate": 5.490727395710563e-05,
|
| 865 |
+
"loss": 1.1638,
|
| 866 |
+
"step": 600
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 1.42018779342723,
|
| 870 |
+
"grad_norm": 0.2824039637269599,
|
| 871 |
+
"learning_rate": 5.452793107619043e-05,
|
| 872 |
+
"loss": 1.1064,
|
| 873 |
+
"step": 605
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 1.431924882629108,
|
| 877 |
+
"grad_norm": 0.30378896985216747,
|
| 878 |
+
"learning_rate": 5.4147947796805546e-05,
|
| 879 |
+
"loss": 1.1587,
|
| 880 |
+
"step": 610
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"epoch": 1.443661971830986,
|
| 884 |
+
"grad_norm": 0.26055491232191014,
|
| 885 |
+
"learning_rate": 5.376738480043643e-05,
|
| 886 |
+
"loss": 1.1737,
|
| 887 |
+
"step": 615
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 1.455399061032864,
|
| 891 |
+
"grad_norm": 0.28775987096455746,
|
| 892 |
+
"learning_rate": 5.338630286114656e-05,
|
| 893 |
+
"loss": 1.0302,
|
| 894 |
+
"step": 620
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 1.4671361502347418,
|
| 898 |
+
"grad_norm": 0.27434540717537476,
|
| 899 |
+
"learning_rate": 5.300476283587205e-05,
|
| 900 |
+
"loss": 1.096,
|
| 901 |
+
"step": 625
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"epoch": 1.4788732394366197,
|
| 905 |
+
"grad_norm": 0.2687633406815332,
|
| 906 |
+
"learning_rate": 5.262282565470313e-05,
|
| 907 |
+
"loss": 1.1784,
|
| 908 |
+
"step": 630
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 1.4906103286384975,
|
| 912 |
+
"grad_norm": 0.30497461697387473,
|
| 913 |
+
"learning_rate": 5.224055231115389e-05,
|
| 914 |
+
"loss": 1.0557,
|
| 915 |
+
"step": 635
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 1.5023474178403755,
|
| 919 |
+
"grad_norm": 0.2401646558924421,
|
| 920 |
+
"learning_rate": 5.185800385242196e-05,
|
| 921 |
+
"loss": 1.2208,
|
| 922 |
+
"step": 640
|
| 923 |
+
},
|
| 924 |
+
{
|
| 925 |
+
"epoch": 1.5140845070422535,
|
| 926 |
+
"grad_norm": 0.28302252582641413,
|
| 927 |
+
"learning_rate": 5.147524136963947e-05,
|
| 928 |
+
"loss": 1.1629,
|
| 929 |
+
"step": 645
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 1.5258215962441315,
|
| 933 |
+
"grad_norm": 0.2733981765032047,
|
| 934 |
+
"learning_rate": 5.1092325988117195e-05,
|
| 935 |
+
"loss": 1.1179,
|
| 936 |
+
"step": 650
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 1.5375586854460095,
|
| 940 |
+
"grad_norm": 0.3543210495906027,
|
| 941 |
+
"learning_rate": 5.0709318857583076e-05,
|
| 942 |
+
"loss": 1.1171,
|
| 943 |
+
"step": 655
|
| 944 |
+
},
|
| 945 |
+
{
|
| 946 |
+
"epoch": 1.5492957746478875,
|
| 947 |
+
"grad_norm": 0.2678160500016965,
|
| 948 |
+
"learning_rate": 5.032628114241694e-05,
|
| 949 |
+
"loss": 1.1378,
|
| 950 |
+
"step": 660
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 1.5610328638497653,
|
| 954 |
+
"grad_norm": 0.2841104290261492,
|
| 955 |
+
"learning_rate": 4.994327401188283e-05,
|
| 956 |
+
"loss": 1.1317,
|
| 957 |
+
"step": 665
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 1.5727699530516432,
|
| 961 |
+
"grad_norm": 0.23756976664123616,
|
| 962 |
+
"learning_rate": 4.956035863036055e-05,
|
| 963 |
+
"loss": 1.1054,
|
| 964 |
+
"step": 670
|
| 965 |
+
},
|
| 966 |
+
{
|
| 967 |
+
"epoch": 1.584507042253521,
|
| 968 |
+
"grad_norm": 0.299042726296967,
|
| 969 |
+
"learning_rate": 4.9177596147578067e-05,
|
| 970 |
+
"loss": 1.14,
|
| 971 |
+
"step": 675
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"epoch": 1.596244131455399,
|
| 975 |
+
"grad_norm": 0.24219892354659045,
|
| 976 |
+
"learning_rate": 4.879504768884612e-05,
|
| 977 |
+
"loss": 1.2392,
|
| 978 |
+
"step": 680
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 1.607981220657277,
|
| 982 |
+
"grad_norm": 0.2659120257163632,
|
| 983 |
+
"learning_rate": 4.841277434529689e-05,
|
| 984 |
+
"loss": 1.076,
|
| 985 |
+
"step": 685
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 1.619718309859155,
|
| 989 |
+
"grad_norm": 0.2535490633175144,
|
| 990 |
+
"learning_rate": 4.803083716412797e-05,
|
| 991 |
+
"loss": 1.1433,
|
| 992 |
+
"step": 690
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 1.631455399061033,
|
| 996 |
+
"grad_norm": 0.2601946247918616,
|
| 997 |
+
"learning_rate": 4.764929713885346e-05,
|
| 998 |
+
"loss": 1.1151,
|
| 999 |
+
"step": 695
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 1.6431924882629108,
|
| 1003 |
+
"grad_norm": 0.2510924947348151,
|
| 1004 |
+
"learning_rate": 4.726821519956359e-05,
|
| 1005 |
+
"loss": 1.1195,
|
| 1006 |
+
"step": 700
|
| 1007 |
+
},
|
| 1008 |
+
{
|
| 1009 |
+
"epoch": 1.6549295774647887,
|
| 1010 |
+
"grad_norm": 0.2717853110326184,
|
| 1011 |
+
"learning_rate": 4.688765220319449e-05,
|
| 1012 |
+
"loss": 1.0717,
|
| 1013 |
+
"step": 705
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 1.6666666666666665,
|
| 1017 |
+
"grad_norm": 0.29413144596709895,
|
| 1018 |
+
"learning_rate": 4.65076689238096e-05,
|
| 1019 |
+
"loss": 1.1293,
|
| 1020 |
+
"step": 710
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 1.6784037558685445,
|
| 1024 |
+
"grad_norm": 0.260973856516902,
|
| 1025 |
+
"learning_rate": 4.61283260428944e-05,
|
| 1026 |
+
"loss": 1.0877,
|
| 1027 |
+
"step": 715
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"epoch": 1.6901408450704225,
|
| 1031 |
+
"grad_norm": 0.24688922048601705,
|
| 1032 |
+
"learning_rate": 4.574968413966582e-05,
|
| 1033 |
+
"loss": 1.074,
|
| 1034 |
+
"step": 720
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 1.7018779342723005,
|
| 1038 |
+
"grad_norm": 0.29518134961553794,
|
| 1039 |
+
"learning_rate": 4.537180368139808e-05,
|
| 1040 |
+
"loss": 1.2313,
|
| 1041 |
+
"step": 725
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 1.7136150234741785,
|
| 1045 |
+
"grad_norm": 0.2789615734091057,
|
| 1046 |
+
"learning_rate": 4.499474501376632e-05,
|
| 1047 |
+
"loss": 1.0704,
|
| 1048 |
+
"step": 730
|
| 1049 |
+
},
|
| 1050 |
+
{
|
| 1051 |
+
"epoch": 1.7253521126760565,
|
| 1052 |
+
"grad_norm": 0.2658926149309144,
|
| 1053 |
+
"learning_rate": 4.461856835120969e-05,
|
| 1054 |
+
"loss": 1.0596,
|
| 1055 |
+
"step": 735
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 1.7370892018779343,
|
| 1059 |
+
"grad_norm": 0.2572838262933699,
|
| 1060 |
+
"learning_rate": 4.424333376731544e-05,
|
| 1061 |
+
"loss": 1.1131,
|
| 1062 |
+
"step": 740
|
| 1063 |
+
},
|
| 1064 |
+
{
|
| 1065 |
+
"epoch": 1.7488262910798122,
|
| 1066 |
+
"grad_norm": 0.2771724916201255,
|
| 1067 |
+
"learning_rate": 4.386910118522542e-05,
|
| 1068 |
+
"loss": 1.1371,
|
| 1069 |
+
"step": 745
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"epoch": 1.76056338028169,
|
| 1073 |
+
"grad_norm": 0.27676486532377537,
|
| 1074 |
+
"learning_rate": 4.349593036806664e-05,
|
| 1075 |
+
"loss": 1.0967,
|
| 1076 |
+
"step": 750
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 1.772300469483568,
|
| 1080 |
+
"grad_norm": 0.26672550277720775,
|
| 1081 |
+
"learning_rate": 4.3123880909407424e-05,
|
| 1082 |
+
"loss": 1.0533,
|
| 1083 |
+
"step": 755
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"epoch": 1.784037558685446,
|
| 1087 |
+
"grad_norm": 0.23662667298158832,
|
| 1088 |
+
"learning_rate": 4.275301222374057e-05,
|
| 1089 |
+
"loss": 1.0783,
|
| 1090 |
+
"step": 760
|
| 1091 |
+
},
|
| 1092 |
+
{
|
| 1093 |
+
"epoch": 1.795774647887324,
|
| 1094 |
+
"grad_norm": 0.29383896298290885,
|
| 1095 |
+
"learning_rate": 4.238338353699518e-05,
|
| 1096 |
+
"loss": 1.17,
|
| 1097 |
+
"step": 765
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 1.807511737089202,
|
| 1101 |
+
"grad_norm": 0.28154071670327757,
|
| 1102 |
+
"learning_rate": 4.201505387707851e-05,
|
| 1103 |
+
"loss": 1.1453,
|
| 1104 |
+
"step": 770
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 1.8192488262910798,
|
| 1108 |
+
"grad_norm": 0.25700361275731554,
|
| 1109 |
+
"learning_rate": 4.1648082064449574e-05,
|
| 1110 |
+
"loss": 1.082,
|
| 1111 |
+
"step": 775
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"epoch": 1.8309859154929577,
|
| 1115 |
+
"grad_norm": 0.2826122217432797,
|
| 1116 |
+
"learning_rate": 4.128252670272575e-05,
|
| 1117 |
+
"loss": 1.0474,
|
| 1118 |
+
"step": 780
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 1.8427230046948355,
|
| 1122 |
+
"grad_norm": 0.2620920138050905,
|
| 1123 |
+
"learning_rate": 4.091844616932409e-05,
|
| 1124 |
+
"loss": 1.1321,
|
| 1125 |
+
"step": 785
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"epoch": 1.8544600938967135,
|
| 1129 |
+
"grad_norm": 0.29154525087785954,
|
| 1130 |
+
"learning_rate": 4.055589860613869e-05,
|
| 1131 |
+
"loss": 1.1328,
|
| 1132 |
+
"step": 790
|
| 1133 |
+
},
|
| 1134 |
+
{
|
| 1135 |
+
"epoch": 1.8661971830985915,
|
| 1136 |
+
"grad_norm": 0.2619470877476919,
|
| 1137 |
+
"learning_rate": 4.01949419102558e-05,
|
| 1138 |
+
"loss": 1.0941,
|
| 1139 |
+
"step": 795
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 1.8779342723004695,
|
| 1143 |
+
"grad_norm": 0.24822033480152877,
|
| 1144 |
+
"learning_rate": 3.983563372470781e-05,
|
| 1145 |
+
"loss": 0.9679,
|
| 1146 |
+
"step": 800
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 1.8896713615023475,
|
| 1150 |
+
"grad_norm": 0.28224783656544505,
|
| 1151 |
+
"learning_rate": 3.9478031429268066e-05,
|
| 1152 |
+
"loss": 1.144,
|
| 1153 |
+
"step": 805
|
| 1154 |
+
},
|
| 1155 |
+
{
|
| 1156 |
+
"epoch": 1.9014084507042255,
|
| 1157 |
+
"grad_norm": 0.30516183723950785,
|
| 1158 |
+
"learning_rate": 3.912219213128753e-05,
|
| 1159 |
+
"loss": 1.1058,
|
| 1160 |
+
"step": 810
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 1.9131455399061033,
|
| 1164 |
+
"grad_norm": 0.30562651002624985,
|
| 1165 |
+
"learning_rate": 3.876817265657502e-05,
|
| 1166 |
+
"loss": 1.1647,
|
| 1167 |
+
"step": 815
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"epoch": 1.9248826291079812,
|
| 1171 |
+
"grad_norm": 0.2768262798277747,
|
| 1172 |
+
"learning_rate": 3.8416029540322404e-05,
|
| 1173 |
+
"loss": 1.1273,
|
| 1174 |
+
"step": 820
|
| 1175 |
+
},
|
| 1176 |
+
{
|
| 1177 |
+
"epoch": 1.936619718309859,
|
| 1178 |
+
"grad_norm": 0.2842898850002602,
|
| 1179 |
+
"learning_rate": 3.806581901807623e-05,
|
| 1180 |
+
"loss": 1.1984,
|
| 1181 |
+
"step": 825
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 1.948356807511737,
|
| 1185 |
+
"grad_norm": 0.31329090267496584,
|
| 1186 |
+
"learning_rate": 3.771759701675715e-05,
|
| 1187 |
+
"loss": 1.1333,
|
| 1188 |
+
"step": 830
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 1.960093896713615,
|
| 1192 |
+
"grad_norm": 0.3381345989557091,
|
| 1193 |
+
"learning_rate": 3.7371419145728696e-05,
|
| 1194 |
+
"loss": 1.0973,
|
| 1195 |
+
"step": 835
|
| 1196 |
+
},
|
| 1197 |
+
{
|
| 1198 |
+
"epoch": 1.971830985915493,
|
| 1199 |
+
"grad_norm": 0.2970165089739574,
|
| 1200 |
+
"learning_rate": 3.702734068791666e-05,
|
| 1201 |
+
"loss": 1.1552,
|
| 1202 |
+
"step": 840
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 1.983568075117371,
|
| 1206 |
+
"grad_norm": 0.26229774431947867,
|
| 1207 |
+
"learning_rate": 3.6685416590980806e-05,
|
| 1208 |
+
"loss": 1.0432,
|
| 1209 |
+
"step": 845
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 1.995305164319249,
|
| 1213 |
+
"grad_norm": 0.3020477793486203,
|
| 1214 |
+
"learning_rate": 3.634570145853985e-05,
|
| 1215 |
+
"loss": 1.1401,
|
| 1216 |
+
"step": 850
|
| 1217 |
+
},
|
| 1218 |
+
{
|
| 1219 |
+
"epoch": 1.995305164319249,
|
| 1220 |
+
"eval_loss": 1.5306791067123413,
|
| 1221 |
+
"eval_runtime": 51.0959,
|
| 1222 |
+
"eval_samples_per_second": 1.429,
|
| 1223 |
+
"eval_steps_per_second": 0.196,
|
| 1224 |
+
"step": 850
|
| 1225 |
+
},
|
| 1226 |
+
{
|
| 1227 |
+
"epoch": 2.007042253521127,
|
| 1228 |
+
"grad_norm": 0.24436801124041757,
|
| 1229 |
+
"learning_rate": 3.600824954145166e-05,
|
| 1230 |
+
"loss": 0.9757,
|
| 1231 |
+
"step": 855
|
| 1232 |
+
},
|
| 1233 |
+
{
|
| 1234 |
+
"epoch": 2.0187793427230045,
|
| 1235 |
+
"grad_norm": 0.3332860055486253,
|
| 1236 |
+
"learning_rate": 3.567311472914957e-05,
|
| 1237 |
+
"loss": 0.9992,
|
| 1238 |
+
"step": 860
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 2.0305164319248825,
|
| 1242 |
+
"grad_norm": 0.2915663428907029,
|
| 1243 |
+
"learning_rate": 3.5340350541036516e-05,
|
| 1244 |
+
"loss": 0.9287,
|
| 1245 |
+
"step": 865
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 2.0422535211267605,
|
| 1249 |
+
"grad_norm": 0.31218559752172226,
|
| 1250 |
+
"learning_rate": 3.501001011793828e-05,
|
| 1251 |
+
"loss": 0.8744,
|
| 1252 |
+
"step": 870
|
| 1253 |
+
},
|
| 1254 |
+
{
|
| 1255 |
+
"epoch": 2.0539906103286385,
|
| 1256 |
+
"grad_norm": 0.3014812239987984,
|
| 1257 |
+
"learning_rate": 3.46821462136171e-05,
|
| 1258 |
+
"loss": 0.7871,
|
| 1259 |
+
"step": 875
|
| 1260 |
+
},
|
| 1261 |
+
{
|
| 1262 |
+
"epoch": 2.0657276995305165,
|
| 1263 |
+
"grad_norm": 0.2919198189363655,
|
| 1264 |
+
"learning_rate": 3.4356811186347255e-05,
|
| 1265 |
+
"loss": 0.8375,
|
| 1266 |
+
"step": 880
|
| 1267 |
+
},
|
| 1268 |
+
{
|
| 1269 |
+
"epoch": 2.0774647887323945,
|
| 1270 |
+
"grad_norm": 0.30297421951074827,
|
| 1271 |
+
"learning_rate": 3.4034056990553525e-05,
|
| 1272 |
+
"loss": 0.9539,
|
| 1273 |
+
"step": 885
|
| 1274 |
+
},
|
| 1275 |
+
{
|
| 1276 |
+
"epoch": 2.0892018779342725,
|
| 1277 |
+
"grad_norm": 0.3004785475460889,
|
| 1278 |
+
"learning_rate": 3.3713935168514526e-05,
|
| 1279 |
+
"loss": 0.8916,
|
| 1280 |
+
"step": 890
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 2.10093896713615,
|
| 1284 |
+
"grad_norm": 0.3063305424781025,
|
| 1285 |
+
"learning_rate": 3.339649684213153e-05,
|
| 1286 |
+
"loss": 0.8923,
|
| 1287 |
+
"step": 895
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 2.112676056338028,
|
| 1291 |
+
"grad_norm": 0.3087837541879336,
|
| 1292 |
+
"learning_rate": 3.308179270476455e-05,
|
| 1293 |
+
"loss": 0.9808,
|
| 1294 |
+
"step": 900
|
| 1295 |
+
},
|
| 1296 |
+
{
|
| 1297 |
+
"epoch": 2.124413145539906,
|
| 1298 |
+
"grad_norm": 0.3069084480862884,
|
| 1299 |
+
"learning_rate": 3.276987301313693e-05,
|
| 1300 |
+
"loss": 0.9499,
|
| 1301 |
+
"step": 905
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 2.136150234741784,
|
| 1305 |
+
"grad_norm": 0.31772408652498,
|
| 1306 |
+
"learning_rate": 3.246078757930949e-05,
|
| 1307 |
+
"loss": 0.9302,
|
| 1308 |
+
"step": 910
|
| 1309 |
+
},
|
| 1310 |
+
{
|
| 1311 |
+
"epoch": 2.147887323943662,
|
| 1312 |
+
"grad_norm": 0.32823640884020344,
|
| 1313 |
+
"learning_rate": 3.21545857627259e-05,
|
| 1314 |
+
"loss": 0.8977,
|
| 1315 |
+
"step": 915
|
| 1316 |
+
},
|
| 1317 |
+
{
|
| 1318 |
+
"epoch": 2.15962441314554,
|
| 1319 |
+
"grad_norm": 0.2986661375144512,
|
| 1320 |
+
"learning_rate": 3.1851316462330086e-05,
|
| 1321 |
+
"loss": 0.9632,
|
| 1322 |
+
"step": 920
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 2.171361502347418,
|
| 1326 |
+
"grad_norm": 0.3044796130319778,
|
| 1327 |
+
"learning_rate": 3.155102810875744e-05,
|
| 1328 |
+
"loss": 0.9244,
|
| 1329 |
+
"step": 925
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 2.183098591549296,
|
| 1333 |
+
"grad_norm": 0.29391562913639346,
|
| 1334 |
+
"learning_rate": 3.125376865660053e-05,
|
| 1335 |
+
"loss": 0.9065,
|
| 1336 |
+
"step": 930
|
| 1337 |
+
},
|
| 1338 |
+
{
|
| 1339 |
+
"epoch": 2.1948356807511735,
|
| 1340 |
+
"grad_norm": 0.33464998182357986,
|
| 1341 |
+
"learning_rate": 3.095958557675115e-05,
|
| 1342 |
+
"loss": 1.0646,
|
| 1343 |
+
"step": 935
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 2.2065727699530515,
|
| 1347 |
+
"grad_norm": 0.3097450215029285,
|
| 1348 |
+
"learning_rate": 3.0668525848819334e-05,
|
| 1349 |
+
"loss": 0.909,
|
| 1350 |
+
"step": 940
|
| 1351 |
+
},
|
| 1352 |
+
{
|
| 1353 |
+
"epoch": 2.2183098591549295,
|
| 1354 |
+
"grad_norm": 0.31619368356156724,
|
| 1355 |
+
"learning_rate": 3.0380635953630954e-05,
|
| 1356 |
+
"loss": 0.942,
|
| 1357 |
+
"step": 945
|
| 1358 |
+
},
|
| 1359 |
+
{
|
| 1360 |
+
"epoch": 2.2300469483568075,
|
| 1361 |
+
"grad_norm": 0.5488021620297451,
|
| 1362 |
+
"learning_rate": 3.009596186580501e-05,
|
| 1363 |
+
"loss": 0.9037,
|
| 1364 |
+
"step": 950
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 2.2417840375586855,
|
| 1368 |
+
"grad_norm": 0.3007995564402941,
|
| 1369 |
+
"learning_rate": 2.981454904641166e-05,
|
| 1370 |
+
"loss": 0.841,
|
| 1371 |
+
"step": 955
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 2.2535211267605635,
|
| 1375 |
+
"grad_norm": 1.0143926976429458,
|
| 1376 |
+
"learning_rate": 2.953644243571233e-05,
|
| 1377 |
+
"loss": 0.8931,
|
| 1378 |
+
"step": 960
|
| 1379 |
+
},
|
| 1380 |
+
{
|
| 1381 |
+
"epoch": 2.2652582159624415,
|
| 1382 |
+
"grad_norm": 0.32847505150062767,
|
| 1383 |
+
"learning_rate": 2.926168644598294e-05,
|
| 1384 |
+
"loss": 0.8939,
|
| 1385 |
+
"step": 965
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 2.276995305164319,
|
| 1389 |
+
"grad_norm": 0.29868200806169454,
|
| 1390 |
+
"learning_rate": 2.899032495442154e-05,
|
| 1391 |
+
"loss": 0.877,
|
| 1392 |
+
"step": 970
|
| 1393 |
+
},
|
| 1394 |
+
{
|
| 1395 |
+
"epoch": 2.288732394366197,
|
| 1396 |
+
"grad_norm": 0.3247314434075676,
|
| 1397 |
+
"learning_rate": 2.8722401296141272e-05,
|
| 1398 |
+
"loss": 0.9554,
|
| 1399 |
+
"step": 975
|
| 1400 |
+
},
|
| 1401 |
+
{
|
| 1402 |
+
"epoch": 2.300469483568075,
|
| 1403 |
+
"grad_norm": 0.2963994274935962,
|
| 1404 |
+
"learning_rate": 2.845795825724998e-05,
|
| 1405 |
+
"loss": 0.8366,
|
| 1406 |
+
"step": 980
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 2.312206572769953,
|
| 1410 |
+
"grad_norm": 0.3018384484277062,
|
| 1411 |
+
"learning_rate": 2.819703806801753e-05,
|
| 1412 |
+
"loss": 0.9772,
|
| 1413 |
+
"step": 985
|
| 1414 |
+
},
|
| 1415 |
+
{
|
| 1416 |
+
"epoch": 2.323943661971831,
|
| 1417 |
+
"grad_norm": 0.3138452072040482,
|
| 1418 |
+
"learning_rate": 2.7939682396131733e-05,
|
| 1419 |
+
"loss": 0.8705,
|
| 1420 |
+
"step": 990
|
| 1421 |
+
},
|
| 1422 |
+
{
|
| 1423 |
+
"epoch": 2.335680751173709,
|
| 1424 |
+
"grad_norm": 0.33495040627076267,
|
| 1425 |
+
"learning_rate": 2.7685932340044337e-05,
|
| 1426 |
+
"loss": 0.9398,
|
| 1427 |
+
"step": 995
|
| 1428 |
+
},
|
| 1429 |
+
{
|
| 1430 |
+
"epoch": 2.347417840375587,
|
| 1431 |
+
"grad_norm": 0.3426786719758913,
|
| 1432 |
+
"learning_rate": 2.743582842240771e-05,
|
| 1433 |
+
"loss": 0.9528,
|
| 1434 |
+
"step": 1000
|
| 1435 |
+
},
|
| 1436 |
+
{
|
| 1437 |
+
"epoch": 2.347417840375587,
|
| 1438 |
+
"eval_loss": 1.5564570426940918,
|
| 1439 |
+
"eval_runtime": 49.772,
|
| 1440 |
+
"eval_samples_per_second": 1.467,
|
| 1441 |
+
"eval_steps_per_second": 0.201,
|
| 1442 |
+
"step": 1000
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 2.359154929577465,
|
| 1446 |
+
"grad_norm": 0.32715481854051526,
|
| 1447 |
+
"learning_rate": 2.7189410583603632e-05,
|
| 1448 |
+
"loss": 0.9294,
|
| 1449 |
+
"step": 1005
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 2.370892018779343,
|
| 1453 |
+
"grad_norm": 0.31904903206727697,
|
| 1454 |
+
"learning_rate": 2.6946718175364948e-05,
|
| 1455 |
+
"loss": 0.9377,
|
| 1456 |
+
"step": 1010
|
| 1457 |
+
},
|
| 1458 |
+
{
|
| 1459 |
+
"epoch": 2.3826291079812205,
|
| 1460 |
+
"grad_norm": 0.3246876100683689,
|
| 1461 |
+
"learning_rate": 2.6707789954491374e-05,
|
| 1462 |
+
"loss": 0.9389,
|
| 1463 |
+
"step": 1015
|
| 1464 |
+
},
|
| 1465 |
+
{
|
| 1466 |
+
"epoch": 2.3943661971830985,
|
| 1467 |
+
"grad_norm": 0.33657822136933685,
|
| 1468 |
+
"learning_rate": 2.647266407666012e-05,
|
| 1469 |
+
"loss": 0.8748,
|
| 1470 |
+
"step": 1020
|
| 1471 |
+
},
|
| 1472 |
+
{
|
| 1473 |
+
"epoch": 2.4061032863849765,
|
| 1474 |
+
"grad_norm": 0.33075950831011175,
|
| 1475 |
+
"learning_rate": 2.62413780903327e-05,
|
| 1476 |
+
"loss": 0.9191,
|
| 1477 |
+
"step": 1025
|
| 1478 |
+
},
|
| 1479 |
+
{
|
| 1480 |
+
"epoch": 2.4178403755868545,
|
| 1481 |
+
"grad_norm": 0.3091789648897354,
|
| 1482 |
+
"learning_rate": 2.6013968930758587e-05,
|
| 1483 |
+
"loss": 0.8542,
|
| 1484 |
+
"step": 1030
|
| 1485 |
+
},
|
| 1486 |
+
{
|
| 1487 |
+
"epoch": 2.4295774647887325,
|
| 1488 |
+
"grad_norm": 0.3017557854181004,
|
| 1489 |
+
"learning_rate": 2.579047291407683e-05,
|
| 1490 |
+
"loss": 0.9691,
|
| 1491 |
+
"step": 1035
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"epoch": 2.4413145539906105,
|
| 1495 |
+
"grad_norm": 0.3315662930965317,
|
| 1496 |
+
"learning_rate": 2.557092573151657e-05,
|
| 1497 |
+
"loss": 0.9335,
|
| 1498 |
+
"step": 1040
|
| 1499 |
+
},
|
| 1500 |
+
{
|
| 1501 |
+
"epoch": 2.453051643192488,
|
| 1502 |
+
"grad_norm": 0.28405648990544513,
|
| 1503 |
+
"learning_rate": 2.5355362443697268e-05,
|
| 1504 |
+
"loss": 0.8608,
|
| 1505 |
+
"step": 1045
|
| 1506 |
+
},
|
| 1507 |
+
{
|
| 1508 |
+
"epoch": 2.464788732394366,
|
| 1509 |
+
"grad_norm": 0.3272098198440713,
|
| 1510 |
+
"learning_rate": 2.5143817475029763e-05,
|
| 1511 |
+
"loss": 0.945,
|
| 1512 |
+
"step": 1050
|
| 1513 |
+
},
|
| 1514 |
+
{
|
| 1515 |
+
"epoch": 2.476525821596244,
|
| 1516 |
+
"grad_norm": 15.473459249206623,
|
| 1517 |
+
"learning_rate": 2.4936324608218807e-05,
|
| 1518 |
+
"loss": 0.862,
|
| 1519 |
+
"step": 1055
|
| 1520 |
+
},
|
| 1521 |
+
{
|
| 1522 |
+
"epoch": 2.488262910798122,
|
| 1523 |
+
"grad_norm": 0.3214221685785962,
|
| 1524 |
+
"learning_rate": 2.4732916978868173e-05,
|
| 1525 |
+
"loss": 0.8372,
|
| 1526 |
+
"step": 1060
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"epoch": 2.5,
|
| 1530 |
+
"grad_norm": 0.30527745666926165,
|
| 1531 |
+
"learning_rate": 2.453362707018903e-05,
|
| 1532 |
+
"loss": 0.9094,
|
| 1533 |
+
"step": 1065
|
| 1534 |
+
},
|
| 1535 |
+
{
|
| 1536 |
+
"epoch": 2.511737089201878,
|
| 1537 |
+
"grad_norm": 0.337431832474658,
|
| 1538 |
+
"learning_rate": 2.4338486707812528e-05,
|
| 1539 |
+
"loss": 0.8946,
|
| 1540 |
+
"step": 1070
|
| 1541 |
+
},
|
| 1542 |
+
{
|
| 1543 |
+
"epoch": 2.523474178403756,
|
| 1544 |
+
"grad_norm": 0.3322583740691652,
|
| 1545 |
+
"learning_rate": 2.414752705470744e-05,
|
| 1546 |
+
"loss": 0.949,
|
| 1547 |
+
"step": 1075
|
| 1548 |
+
},
|
| 1549 |
+
{
|
| 1550 |
+
"epoch": 2.535211267605634,
|
| 1551 |
+
"grad_norm": 0.3183558468618594,
|
| 1552 |
+
"learning_rate": 2.396077860620353e-05,
|
| 1553 |
+
"loss": 0.8969,
|
| 1554 |
+
"step": 1080
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"epoch": 2.546948356807512,
|
| 1558 |
+
"grad_norm": 0.3155273530496357,
|
| 1559 |
+
"learning_rate": 2.377827118512165e-05,
|
| 1560 |
+
"loss": 0.9395,
|
| 1561 |
+
"step": 1085
|
| 1562 |
+
},
|
| 1563 |
+
{
|
| 1564 |
+
"epoch": 2.5586854460093895,
|
| 1565 |
+
"grad_norm": 2.4170816896900025,
|
| 1566 |
+
"learning_rate": 2.3600033937011134e-05,
|
| 1567 |
+
"loss": 0.8337,
|
| 1568 |
+
"step": 1090
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 2.5704225352112675,
|
| 1572 |
+
"grad_norm": 0.31607546736128544,
|
| 1573 |
+
"learning_rate": 2.342609532549545e-05,
|
| 1574 |
+
"loss": 0.856,
|
| 1575 |
+
"step": 1095
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
"epoch": 2.5821596244131455,
|
| 1579 |
+
"grad_norm": 0.33297406422032433,
|
| 1580 |
+
"learning_rate": 2.3256483127726626e-05,
|
| 1581 |
+
"loss": 0.8664,
|
| 1582 |
+
"step": 1100
|
| 1583 |
+
},
|
| 1584 |
+
{
|
| 1585 |
+
"epoch": 2.5938967136150235,
|
| 1586 |
+
"grad_norm": 0.3237147629308357,
|
| 1587 |
+
"learning_rate": 2.309122442994944e-05,
|
| 1588 |
+
"loss": 0.8719,
|
| 1589 |
+
"step": 1105
|
| 1590 |
+
},
|
| 1591 |
+
{
|
| 1592 |
+
"epoch": 2.6056338028169015,
|
| 1593 |
+
"grad_norm": 0.3234191361238395,
|
| 1594 |
+
"learning_rate": 2.2930345623175854e-05,
|
| 1595 |
+
"loss": 0.9487,
|
| 1596 |
+
"step": 1110
|
| 1597 |
+
},
|
| 1598 |
+
{
|
| 1599 |
+
"epoch": 2.6173708920187795,
|
| 1600 |
+
"grad_norm": 0.3323839887038311,
|
| 1601 |
+
"learning_rate": 2.277387239897046e-05,
|
| 1602 |
+
"loss": 0.9493,
|
| 1603 |
+
"step": 1115
|
| 1604 |
+
},
|
| 1605 |
+
{
|
| 1606 |
+
"epoch": 2.629107981220657,
|
| 1607 |
+
"grad_norm": 0.32228378417361714,
|
| 1608 |
+
"learning_rate": 2.262182974534775e-05,
|
| 1609 |
+
"loss": 0.8866,
|
| 1610 |
+
"step": 1120
|
| 1611 |
+
},
|
| 1612 |
+
{
|
| 1613 |
+
"epoch": 2.640845070422535,
|
| 1614 |
+
"grad_norm": 0.3079696625324963,
|
| 1615 |
+
"learning_rate": 2.247424194278155e-05,
|
| 1616 |
+
"loss": 0.8054,
|
| 1617 |
+
"step": 1125
|
| 1618 |
+
},
|
| 1619 |
+
{
|
| 1620 |
+
"epoch": 2.652582159624413,
|
| 1621 |
+
"grad_norm": 0.3097789983846638,
|
| 1622 |
+
"learning_rate": 2.2331132560327617e-05,
|
| 1623 |
+
"loss": 0.9464,
|
| 1624 |
+
"step": 1130
|
| 1625 |
+
},
|
| 1626 |
+
{
|
| 1627 |
+
"epoch": 2.664319248826291,
|
| 1628 |
+
"grad_norm": 0.29487479541027356,
|
| 1629 |
+
"learning_rate": 2.2192524451859738e-05,
|
| 1630 |
+
"loss": 0.9063,
|
| 1631 |
+
"step": 1135
|
| 1632 |
+
},
|
| 1633 |
+
{
|
| 1634 |
+
"epoch": 2.676056338028169,
|
| 1635 |
+
"grad_norm": 0.33006135046655793,
|
| 1636 |
+
"learning_rate": 2.205843975242011e-05,
|
| 1637 |
+
"loss": 0.8962,
|
| 1638 |
+
"step": 1140
|
| 1639 |
+
},
|
| 1640 |
+
{
|
| 1641 |
+
"epoch": 2.687793427230047,
|
| 1642 |
+
"grad_norm": 0.3529330284339669,
|
| 1643 |
+
"learning_rate": 2.1928899874684446e-05,
|
| 1644 |
+
"loss": 0.9958,
|
| 1645 |
+
"step": 1145
|
| 1646 |
+
},
|
| 1647 |
+
{
|
| 1648 |
+
"epoch": 2.699530516431925,
|
| 1649 |
+
"grad_norm": 0.36979938140870244,
|
| 1650 |
+
"learning_rate": 2.1803925505542516e-05,
|
| 1651 |
+
"loss": 0.9466,
|
| 1652 |
+
"step": 1150
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"epoch": 2.711267605633803,
|
| 1656 |
+
"grad_norm": 0.30449528011099597,
|
| 1657 |
+
"learning_rate": 2.168353660279449e-05,
|
| 1658 |
+
"loss": 0.8422,
|
| 1659 |
+
"step": 1155
|
| 1660 |
+
},
|
| 1661 |
+
{
|
| 1662 |
+
"epoch": 2.723004694835681,
|
| 1663 |
+
"grad_norm": 0.32449892199883407,
|
| 1664 |
+
"learning_rate": 2.156775239196383e-05,
|
| 1665 |
+
"loss": 0.9596,
|
| 1666 |
+
"step": 1160
|
| 1667 |
+
},
|
| 1668 |
+
{
|
| 1669 |
+
"epoch": 2.7347417840375585,
|
| 1670 |
+
"grad_norm": 0.3082491729387956,
|
| 1671 |
+
"learning_rate": 2.145659136322706e-05,
|
| 1672 |
+
"loss": 0.8846,
|
| 1673 |
+
"step": 1165
|
| 1674 |
+
},
|
| 1675 |
+
{
|
| 1676 |
+
"epoch": 2.7464788732394365,
|
| 1677 |
+
"grad_norm": 0.3542469454397538,
|
| 1678 |
+
"learning_rate": 2.1350071268460934e-05,
|
| 1679 |
+
"loss": 0.9162,
|
| 1680 |
+
"step": 1170
|
| 1681 |
+
},
|
| 1682 |
+
{
|
| 1683 |
+
"epoch": 2.7582159624413145,
|
| 1684 |
+
"grad_norm": 0.35364030378555145,
|
| 1685 |
+
"learning_rate": 2.12482091184076e-05,
|
| 1686 |
+
"loss": 0.9548,
|
| 1687 |
+
"step": 1175
|
| 1688 |
+
},
|
| 1689 |
+
{
|
| 1690 |
+
"epoch": 2.7699530516431925,
|
| 1691 |
+
"grad_norm": 0.534630830850989,
|
| 1692 |
+
"learning_rate": 2.115102117995803e-05,
|
| 1693 |
+
"loss": 0.9527,
|
| 1694 |
+
"step": 1180
|
| 1695 |
+
},
|
| 1696 |
+
{
|
| 1697 |
+
"epoch": 2.7816901408450705,
|
| 1698 |
+
"grad_norm": 0.3638700943894012,
|
| 1699 |
+
"learning_rate": 2.1058522973554294e-05,
|
| 1700 |
+
"loss": 0.8624,
|
| 1701 |
+
"step": 1185
|
| 1702 |
+
},
|
| 1703 |
+
{
|
| 1704 |
+
"epoch": 2.7934272300469485,
|
| 1705 |
+
"grad_norm": 0.33210932308224567,
|
| 1706 |
+
"learning_rate": 2.0970729270711017e-05,
|
| 1707 |
+
"loss": 0.8602,
|
| 1708 |
+
"step": 1190
|
| 1709 |
+
},
|
| 1710 |
+
{
|
| 1711 |
+
"epoch": 2.805164319248826,
|
| 1712 |
+
"grad_norm": 0.3271576610317457,
|
| 1713 |
+
"learning_rate": 2.0887654091656426e-05,
|
| 1714 |
+
"loss": 0.8537,
|
| 1715 |
+
"step": 1195
|
| 1716 |
+
},
|
| 1717 |
+
{
|
| 1718 |
+
"epoch": 2.816901408450704,
|
| 1719 |
+
"grad_norm": 0.3445497480228464,
|
| 1720 |
+
"learning_rate": 2.0809310703093418e-05,
|
| 1721 |
+
"loss": 0.805,
|
| 1722 |
+
"step": 1200
|
| 1723 |
+
},
|
| 1724 |
+
{
|
| 1725 |
+
"epoch": 2.828638497652582,
|
| 1726 |
+
"grad_norm": 0.32705975575158863,
|
| 1727 |
+
"learning_rate": 2.073571161608091e-05,
|
| 1728 |
+
"loss": 0.955,
|
| 1729 |
+
"step": 1205
|
| 1730 |
+
},
|
| 1731 |
+
{
|
| 1732 |
+
"epoch": 2.84037558685446,
|
| 1733 |
+
"grad_norm": 0.34134786803880485,
|
| 1734 |
+
"learning_rate": 2.066686858403588e-05,
|
| 1735 |
+
"loss": 0.907,
|
| 1736 |
+
"step": 1210
|
| 1737 |
+
},
|
| 1738 |
+
{
|
| 1739 |
+
"epoch": 2.852112676056338,
|
| 1740 |
+
"grad_norm": 0.31253357487176564,
|
| 1741 |
+
"learning_rate": 2.0602792600856414e-05,
|
| 1742 |
+
"loss": 0.9051,
|
| 1743 |
+
"step": 1215
|
| 1744 |
+
},
|
| 1745 |
+
{
|
| 1746 |
+
"epoch": 2.863849765258216,
|
| 1747 |
+
"grad_norm": 0.3325144520719963,
|
| 1748 |
+
"learning_rate": 2.0543493899166034e-05,
|
| 1749 |
+
"loss": 0.9146,
|
| 1750 |
+
"step": 1220
|
| 1751 |
+
},
|
| 1752 |
+
{
|
| 1753 |
+
"epoch": 2.875586854460094,
|
| 1754 |
+
"grad_norm": 0.3293615881469167,
|
| 1755 |
+
"learning_rate": 2.04889819486796e-05,
|
| 1756 |
+
"loss": 0.8378,
|
| 1757 |
+
"step": 1225
|
| 1758 |
+
},
|
| 1759 |
+
{
|
| 1760 |
+
"epoch": 2.887323943661972,
|
| 1761 |
+
"grad_norm": 0.33386869136878455,
|
| 1762 |
+
"learning_rate": 2.0439265454691023e-05,
|
| 1763 |
+
"loss": 0.9188,
|
| 1764 |
+
"step": 1230
|
| 1765 |
+
},
|
| 1766 |
+
{
|
| 1767 |
+
"epoch": 2.89906103286385,
|
| 1768 |
+
"grad_norm": 0.32510298043861213,
|
| 1769 |
+
"learning_rate": 2.0394352356683095e-05,
|
| 1770 |
+
"loss": 0.9314,
|
| 1771 |
+
"step": 1235
|
| 1772 |
+
},
|
| 1773 |
+
{
|
| 1774 |
+
"epoch": 2.910798122065728,
|
| 1775 |
+
"grad_norm": 0.3244639716190284,
|
| 1776 |
+
"learning_rate": 2.0354249827059588e-05,
|
| 1777 |
+
"loss": 0.8556,
|
| 1778 |
+
"step": 1240
|
| 1779 |
+
},
|
| 1780 |
+
{
|
| 1781 |
+
"epoch": 2.9225352112676055,
|
| 1782 |
+
"grad_norm": 0.3442224853352613,
|
| 1783 |
+
"learning_rate": 2.0318964269999837e-05,
|
| 1784 |
+
"loss": 0.8086,
|
| 1785 |
+
"step": 1245
|
| 1786 |
+
},
|
| 1787 |
+
{
|
| 1788 |
+
"epoch": 2.9342723004694835,
|
| 1789 |
+
"grad_norm": 0.3402662522070222,
|
| 1790 |
+
"learning_rate": 2.0288501320436047e-05,
|
| 1791 |
+
"loss": 0.8865,
|
| 1792 |
+
"step": 1250
|
| 1793 |
+
},
|
| 1794 |
+
{
|
| 1795 |
+
"epoch": 2.936619718309859,
|
| 1796 |
+
"eval_loss": 1.5202196836471558,
|
| 1797 |
+
"eval_runtime": 49.8279,
|
| 1798 |
+
"eval_samples_per_second": 1.465,
|
| 1799 |
+
"eval_steps_per_second": 0.201,
|
| 1800 |
+
"step": 1251
|
| 1801 |
+
}
|
| 1802 |
+
],
|
| 1803 |
+
"logging_steps": 5,
|
| 1804 |
+
"max_steps": 1278,
|
| 1805 |
+
"num_input_tokens_seen": 0,
|
| 1806 |
+
"num_train_epochs": 3,
|
| 1807 |
+
"save_steps": 500,
|
| 1808 |
+
"stateful_callbacks": {
|
| 1809 |
+
"TrainerControl": {
|
| 1810 |
+
"args": {
|
| 1811 |
+
"should_epoch_stop": false,
|
| 1812 |
+
"should_evaluate": false,
|
| 1813 |
+
"should_log": false,
|
| 1814 |
+
"should_save": true,
|
| 1815 |
+
"should_training_stop": false
|
| 1816 |
+
},
|
| 1817 |
+
"attributes": {}
|
| 1818 |
+
}
|
| 1819 |
+
},
|
| 1820 |
+
"total_flos": 1297580487081984.0,
|
| 1821 |
+
"train_batch_size": 8,
|
| 1822 |
+
"trial_name": null,
|
| 1823 |
+
"trial_params": null
|
| 1824 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5066bbeeb25eb080a35ab58de809bd30050b716bf0b552d366620369d9522bc5
|
| 3 |
+
size 7480
|